TITLE:
Research on Location-Routing Problem with Empirical Analysis for Regional Logistics Distribution
AUTHORS:
Qian Zhang
KEYWORDS:
Distribution Facilities, Multi-Objective Location-Routing Problem (MLRP), Mathematical Models, Random Analysis
JOURNAL NAME:
Applied Mathematics,
Vol.5 No.15,
August
14,
2014
ABSTRACT: The location of the
distribution facilities and the routing of the vehicles from these facilities
are interdependent in many distribution systems. Such a concept recognizes the
interdependence; attempts to integrate these two decisions have been limited. Multi-objective
location-routing problem (MLRP) is combined with the facility location and the
vehicle routing decision and satisfied the different objectives. Due to the
problem complexity, simultaneous solution methods are limited, which are given
in different objectives with conflicts in functions satisfied. Two kinds of optimal
mathematical models are proposed for the solution of MLRP. Three methods have
been emphatically developed for MLRP. MGA architecture makes it possible to
search the solution space efficiently, which provides a path for searching the
solution with two-objective LRP. At last the practical proof is given by random
analysis for regional distribution with nine cities.